New York City Health Atlas

Injury ER Visits

Compare This Metric

Description

Number of emergency room visits for injuries, poisonings, or accidents.


Calculation

Number of ER visits for injuries per 1,000 population.


Source

Statewide Planning and Research Cooperative System (SPARCS) Outpatient Data, 2011-2013.


Years of Data

2011-2013


Additional Resources

City Wide Average

76.0

Census Tract 1021800 Average

117.1

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
117.1 Tract

Census Tract 1021800

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 117.1 20,681

Sex

Female 122.0 10,483
Male 148.0 10,193

Race/Ethnicity

Asian/Pacific Islander 136.5 403
Black 66.0 13,380
Hispanic 366.4 2,241
White 110.6 4,474

Age

0-14 years 130.8 3,807
15-24 years 86.1 3,950
25-34 years 84.5 4,464
35-44 years 118.2 2,683
45-54 years 130.7 2,854
55-64 years 167.1 1,466
65-74 years 187.3 774
75+ years 195.3 645
Download Table (.CSV)

Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.